game_center_matchmaking_queues_matchmaking_sessions_get_metrics

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing: not what metrics are returned, how date ranges work, pagination behavior, or permissions required.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is short but wastes its only sentence by duplicating the identical URL string in parentheses. There is no front-loaded statement of purpose, so brevity here reflects emptiness rather than efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, no annotations, and four parameters, the description needed to explain return values and metric semantics; instead it provides only the endpoint path, leaving an agent unable to call this correctly with confidence.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents id, sort, limit, and granularity with enums. The description adds no parameter meaning, but the baseline for fully-covered schemas is 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is nothing but the raw HTTP path, repeated twice in parentheses. It restates the operation already encoded in the tool name without adding a verb+resource explanation or distinguishing it from sibling metrics endpoints such as game_center_matchmaking_queues_matchmaking_requests_get_metrics.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus the many other matchmaking-queue metrics tools (queue sizes, experiment sizes, requests), nor any prerequisite or context for selecting it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.